Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	65280
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	16.5 MiB
Average record size in memory	265.7 B

Variable types

Numeric	13
Categorical	4
DateTime	1

Alerts

`Item` has a high cardinality: 657 distinct values	High cardinality
`df_index` is highly correlated with `Invoice_Quarter` and 1 other fields	High correlation
`Invoice_Quarter` is highly correlated with `df_index` and 1 other fields	High correlation
`Invoice_Month` is highly correlated with `df_index` and 1 other fields	High correlation
`Sales Quantity` is highly correlated with `List Price` and 1 other fields	High correlation
`Sales Amount` is highly correlated with `Sales Amount Based on List Price` and 3 other fields	High correlation
`Sales Amount Based on List Price` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Discount Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Margin Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Cost Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`List Price` is highly correlated with `Sales Quantity` and 1 other fields	High correlation
`Sales Price` is highly correlated with `Sales Quantity` and 1 other fields	High correlation
`df_index` is highly correlated with `Invoice_Quarter` and 1 other fields	High correlation
`Invoice_Quarter` is highly correlated with `df_index` and 1 other fields	High correlation
`Invoice_Month` is highly correlated with `df_index` and 1 other fields	High correlation
`Sales Quantity` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Amount` is highly correlated with `Sales Quantity` and 3 other fields	High correlation
`Sales Amount Based on List Price` is highly correlated with `Sales Quantity` and 4 other fields	High correlation
`Discount Amount` is highly correlated with `Sales Amount Based on List Price`	High correlation
`Sales Margin Amount` is highly correlated with `Sales Quantity` and 3 other fields	High correlation
`Sales Cost Amount` is highly correlated with `Sales Quantity` and 3 other fields	High correlation
`List Price` is highly correlated with `Sales Price`	High correlation
`Sales Price` is highly correlated with `List Price`	High correlation
`df_index` is highly correlated with `Invoice_Quarter` and 1 other fields	High correlation
`Invoice_Quarter` is highly correlated with `df_index` and 1 other fields	High correlation
`Invoice_Month` is highly correlated with `df_index` and 1 other fields	High correlation
`Sales Amount` is highly correlated with `Sales Amount Based on List Price` and 3 other fields	High correlation
`Sales Amount Based on List Price` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Discount Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Margin Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Cost Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`List Price` is highly correlated with `Sales Price`	High correlation
`Sales Price` is highly correlated with `List Price`	High correlation
`df_index` is highly correlated with `Invoice_Year` and 2 other fields	High correlation
`CustKey` is highly correlated with `Sales Rep`	High correlation
`Invoice_Year` is highly correlated with `df_index` and 1 other fields	High correlation
`Invoice_Quarter` is highly correlated with `df_index` and 1 other fields	High correlation
`Invoice_Month` is highly correlated with `df_index` and 2 other fields	High correlation
`Sales Quantity` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Amount` is highly correlated with `Sales Quantity` and 4 other fields	High correlation
`Sales Amount Based on List Price` is highly correlated with `Sales Quantity` and 4 other fields	High correlation
`Discount Amount` is highly correlated with `Sales Amount` and 3 other fields	High correlation
`Sales Margin Amount` is highly correlated with `Sales Quantity` and 4 other fields	High correlation
`Sales Cost Amount` is highly correlated with `Sales Quantity` and 4 other fields	High correlation
`Sales Rep` is highly correlated with `CustKey`	High correlation
`List Price` is highly correlated with `Sales Price`	High correlation
`Sales Price` is highly correlated with `List Price`	High correlation
`Sales Quantity` is highly skewed (γ1 = 23.00722057)	Skewed
`Sales Cost Amount` is highly skewed (γ1 = 21.01063149)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Discount Amount` has 1214 (1.9%) zeros	Zeros

Reproduction

Analysis started	2022-10-06 03:19:54.147763
Analysis finished	2022-10-06 03:20:20.926352
Duration	26.78 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	65280
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32640.96425

Minimum	0
Maximum	65281
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	0
5-th percentile	3264.95
Q1	16320.75
median	32640.5
Q3	48961.25
95-th percentile	62017.05
Maximum	65281
Range	65281
Interquartile range (IQR)	32640.5

Descriptive statistics

Standard deviation	18845.29037
Coefficient of variation (CV)	0.5773509086
Kurtosis	-1.200026217
Mean	32640.96425
Median Absolute Deviation (MAD)	16320.5
Skewness	5.038305807 × 10^-6
Sum	2130802146
Variance	355144969
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
43527	1	< 0.1%
43514	1	< 0.1%
43515	1	< 0.1%
43516	1	< 0.1%
43517	1	< 0.1%
43518	1	< 0.1%
43519	1	< 0.1%
43520	1	< 0.1%
43521	1	< 0.1%
Other values (65270)	65270	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
65281	1	< 0.1%
65280	1	< 0.1%
65279	1	< 0.1%
65278	1	< 0.1%
65277	1	< 0.1%
65276	1	< 0.1%
65275	1	< 0.1%
65274	1	< 0.1%
65273	1	< 0.1%
65272	1	< 0.1%

CustKey
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	615
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10017702.67

Minimum	10000453
Maximum	10027583
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	10000453
5-th percentile	10002506
Q1	10012715
median	10019665
Q3	10023511
95-th percentile	10026006.15
Maximum	10027583
Range	27130
Interquartile range (IQR)	10796

Descriptive statistics

Standard deviation	7176.243993
Coefficient of variation (CV)	0.0007163562571
Kurtosis	-0.3714057462
Mean	10017702.67
Median Absolute Deviation (MAD)	4886
Skewness	-0.7701959384
Sum	6.539556306 × 10¹¹
Variance	51498477.84
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10025919	2760	4.2%
10019194	2752	4.2%
10012715	1431	2.2%
10012226	1389	2.1%
10025025	1143	1.8%
10023524	1042	1.6%
10020515	1010	1.5%
10017638	792	1.2%
10022456	741	1.1%
10002506	714	1.1%
Other values (605)	51506	78.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10000453	329	0.5%
10000455	19	< 0.1%
10000456	104	0.2%
10000457	19	< 0.1%
10000458	10	< 0.1%
10000460	120	0.2%
10000461	251	0.4%
10000462	3	< 0.1%
10000466	123	0.2%
10000469	162	0.2%

Value	Count	Frequency (%)
10027583	25	< 0.1%
10027575	5	< 0.1%
10027572	52	0.1%
10027560	42	0.1%
10027381	108	0.2%
10027370	235	0.4%
10027356	21	< 0.1%
10027348	14	< 0.1%
10027340	35	0.1%
10027119	176	0.3%

Item
Categorical

HIGH CARDINALITY

Distinct	657
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	4.9 MiB

Better Fancy Canned Sardines	1648
Ebony Prepared Salad	1471
Moms Sliced Turkey	1192
Imagine Popsicles	1191
Discover Manicotti	1126
Other values (652)	58652

Length

Max length	37
Median length	32
Mean length	21.72234988
Min length	8

Characters and Unicode

Total characters	1418035
Distinct characters	56
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	< 0.1%

Sample

1st row	Urban Large Eggs
2nd row	Moms Sliced Turkey
3rd row	Cutting Edge Foot-Long Hot Dogs
4th row	Kiwi Lox
5th row	High Top Sweet Onion

Common Values

Value	Count	Frequency (%)
Better Fancy Canned Sardines	1648	2.5%
Ebony Prepared Salad	1471	2.3%
Moms Sliced Turkey	1192	1.8%
Imagine Popsicles	1191	1.8%
Discover Manicotti	1126	1.7%
Red Spade Foot-Long Hot Dogs	1075	1.6%
High Top Dried Mushrooms	1073	1.6%
Big Time Frozen Cheese Pizza	947	1.5%
Cutting Edge Foot-Long Hot Dogs	942	1.4%
Bravo Large Canned Shrimp	941	1.4%
Other values (647)	53674	82.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canned	6378	2.8%
ebony	5460	2.4%
cheese	5194	2.3%
better	4570	2.0%
red	4271	1.9%
top	4173	1.8%
spade	4161	1.8%
high	4138	1.8%
best	3480	1.5%
nationeel	3328	1.4%
Other values (294)	184532	80.3%

Most occurring characters

Value	Count	Frequency (%)
	164405	11.6%
e	147096	10.4%
o	92465	6.5%
a	92274	6.5%
n	74072	5.2%
i	69458	4.9%
t	68731	4.8%
r	67351	4.7%
l	59835	4.2%
s	57796	4.1%
Other values (46)	524552	37.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1013733	71.5%
Uppercase Letter	236241	16.7%
Space Separator	164405	11.6%
Dash Punctuation	2160	0.2%
Other Punctuation	748	0.1%
Decimal Number	748	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	147096	14.5%
o	92465	9.1%
a	92274	9.1%
n	74072	7.3%
i	69458	6.9%
t	68731	6.8%
r	67351	6.6%
l	59835	5.9%
s	57796	5.7%
d	40545	4.0%
Other values (16)	244110	24.1%

Uppercase Letter

Value	Count	Frequency (%)
B	31428	13.3%
C	30873	13.1%
S	26130	11.1%
T	19374	8.2%
F	16239	6.9%
M	12520	5.3%
P	11469	4.9%
L	11022	4.7%
D	10754	4.6%
E	10237	4.3%
Other values (15)	56195	23.8%

Decimal Number

Value	Count	Frequency (%)
1	579	77.4%
2	169	22.6%

Space Separator

Value	Count	Frequency (%)
	164405	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2160	100.0%

Other Punctuation

Value	Count	Frequency (%)
%	748	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1249974	88.1%
Common	168061	11.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	147096	11.8%
o	92465	7.4%
a	92274	7.4%
n	74072	5.9%
i	69458	5.6%
t	68731	5.5%
r	67351	5.4%
l	59835	4.8%
s	57796	4.6%
d	40545	3.2%
Other values (41)	480351	38.4%

Common

Value	Count	Frequency (%)
	164405	97.8%
-	2160	1.3%
%	748	0.4%
1	579	0.3%
2	169	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1418035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	164405	11.6%
e	147096	10.4%
o	92465	6.5%
a	92274	6.5%
n	74072	5.2%
i	69458	4.9%
t	68731	4.8%
r	67351	4.7%
l	59835	4.2%
s	57796	4.1%
Other values (46)	524552	37.0%

Invoice Date
Date

Distinct	559
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	510.1 KiB

Minimum	2017-01-01 00:00:00
Maximum	2019-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Invoice_Year
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

2017	30573
2019	28021
2018	6686

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	261120
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017
2nd row	2017
3rd row	2017
4th row	2017
5th row	2017

Common Values

Value	Count	Frequency (%)
2017	30573	46.8%
2019	28021	42.9%
2018	6686	10.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2017	30573	46.8%
2019	28021	42.9%
2018	6686	10.2%

Most occurring characters

Value	Count	Frequency (%)
2	65280	25.0%
0	65280	25.0%
1	65280	25.0%
7	30573	11.7%
9	28021	10.7%
8	6686	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	261120	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	65280	25.0%
0	65280	25.0%
1	65280	25.0%
7	30573	11.7%
9	28021	10.7%
8	6686	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	261120	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	65280	25.0%
0	65280	25.0%
1	65280	25.0%
7	30573	11.7%
9	28021	10.7%
8	6686	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	261120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	65280	25.0%
0	65280	25.0%
1	65280	25.0%
7	30573	11.7%
9	28021	10.7%
8	6686	2.6%

Invoice_Quarter
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.6 MiB

1	19930
4	16142
3	14688
2	14520

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	65280
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	4
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	19930	30.5%
4	16142	24.7%
3	14688	22.5%
2	14520	22.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	19930	30.5%
4	16142	24.7%
3	14688	22.5%
2	14520	22.2%

Most occurring characters

Value	Count	Frequency (%)
1	19930	30.5%
4	16142	24.7%
3	14688	22.5%
2	14520	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	65280	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	19930	30.5%
4	16142	24.7%
3	14688	22.5%
2	14520	22.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	65280	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	19930	30.5%
4	16142	24.7%
3	14688	22.5%
2	14520	22.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65280	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	19930	30.5%
4	16142	24.7%
3	14688	22.5%
2	14520	22.2%

Invoice_Month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.307000613

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.563557849
Coefficient of variation (CV)	0.5650162522
Kurtosis	-1.304080373
Mean	6.307000613
Median Absolute Deviation (MAD)	3
Skewness	0.07649377464
Sum	411721
Variance	12.69894454
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	7308	11.2%
2	6556	10.0%
1	6066	9.3%
12	5645	8.6%
9	5555	8.5%
6	5376	8.2%
10	5250	8.0%
11	5247	8.0%
5	5167	7.9%
8	4737	7.3%
Other values (2)	8373	12.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6066	9.3%
2	6556	10.0%
3	7308	11.2%
4	3977	6.1%
5	5167	7.9%
6	5376	8.2%
7	4396	6.7%
8	4737	7.3%
9	5555	8.5%
10	5250	8.0%

Value	Count	Frequency (%)
12	5645	8.6%
11	5247	8.0%
10	5250	8.0%
9	5555	8.5%
8	4737	7.3%
7	4396	6.7%
6	5376	8.2%
5	5167	7.9%
4	3977	6.1%
3	7308	11.2%

Invoice_Day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.15589767

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	16
Q3	24
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.795337539
Coefficient of variation (CV)	0.5444041376
Kurtosis	-1.224628553
Mean	16.15589767
Median Absolute Deviation (MAD)	8
Skewness	-0.02103293504
Sum	1054657
Variance	77.35796243
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
11	2879	4.4%
29	2831	4.3%
10	2571	3.9%
18	2487	3.8%
26	2436	3.7%
23	2396	3.7%
21	2334	3.6%
30	2333	3.6%
9	2271	3.5%
5	2268	3.5%
Other values (21)	40474	62.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1850	2.8%
2	1671	2.6%
3	2001	3.1%
4	1701	2.6%
5	2268	3.5%
6	2115	3.2%
7	2185	3.3%
8	2245	3.4%
9	2271	3.5%
10	2571	3.9%

Value	Count	Frequency (%)
31	1019	1.6%
30	2333	3.6%
29	2831	4.3%
28	2093	3.2%
27	2140	3.3%
26	2436	3.7%
25	2123	3.3%
24	2065	3.2%
23	2396	3.7%
22	2220	3.4%

Sales Quantity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	279
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.08570772

Minimum	1
Maximum	16000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	8
95-th percentile	86
Maximum	16000
Range	15999
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	429.6683008
Coefficient of variation (CV)	9.530033408
Kurtosis	649.737599
Mean	45.08570772
Median Absolute Deviation (MAD)	2
Skewness	23.00722057
Sum	2943195
Variance	184614.8487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	15264	23.4%
2	13466	20.6%
3	7056	10.8%
4	4973	7.6%
5	3519	5.4%
6	3061	4.7%
10	2596	4.0%
8	1460	2.2%
12	1314	2.0%
20	1034	1.6%
Other values (269)	11537	17.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	15264	23.4%
2	13466	20.6%
3	7056	10.8%
4	4973	7.6%
5	3519	5.4%
6	3061	4.7%
7	711	1.1%
8	1460	2.2%
9	453	0.7%
10	2596	4.0%

Value	Count	Frequency (%)
16000	11	< 0.1%
13600	12	< 0.1%
9504	7	< 0.1%
8316	40	0.1%
7128	21	< 0.1%
7126	2	< 0.1%
6480	2	< 0.1%
6400	4	< 0.1%
5834	4	< 0.1%
4752	13	< 0.1%

Sales Amount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	17895
Distinct (%)	27.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2852.043002

Minimum	200.01
Maximum	555376
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	200.01
5-th percentile	215.78
Q1	308.38
median	553.94
Q3	1279.9875
95-th percentile	8777.79
Maximum	555376
Range	555175.99
Interquartile range (IQR)	971.6075

Descriptive statistics

Standard deviation	15164.56904
Coefficient of variation (CV)	5.3170899
Kurtosis	478.9000606
Mean	2852.043002
Median Absolute Deviation (MAD)	292.92
Skewness	18.57841346
Sum	186181367.2
Variance	229964154.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
784.97	115	0.2%
817.68	115	0.2%
294.72	110	0.2%
307	104	0.2%
597.14	102	0.2%
622.02	101	0.2%
824.39	100	0.2%
791.41	99	0.2%
401.16	95	0.1%
204.66	92	0.1%
Other values (17885)	64247	98.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
200.01	6	< 0.1%
200.06	6	< 0.1%
200.08	1	< 0.1%
200.14	3	< 0.1%
200.15	5	< 0.1%
200.19	7	< 0.1%
200.21	1	< 0.1%
200.3	3	< 0.1%
200.36	1	< 0.1%
200.37	6	< 0.1%

Value	Count	Frequency (%)
555376	1	< 0.1%
539200	5	< 0.1%
517632	5	< 0.1%
472069.6	2	< 0.1%
458320	5	< 0.1%
439987.2	5	< 0.1%
310156.07	1	< 0.1%
301122.4	2	< 0.1%
297240	1	< 0.1%
289077.5	2	< 0.1%

Sales Amount Based on List Price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4060
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4707.617837

Minimum	0
Maximum	632610.16
Zeros	294
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	0
5-th percentile	390
Q1	561.04
median	998.16
Q3	2316.63
95-th percentile	16425.12
Maximum	632610.16
Range	632610.16
Interquartile range (IQR)	1755.59

Descriptive statistics

Standard deviation	20696.74443
Coefficient of variation (CV)	4.396436827
Kurtosis	278.7073688
Mean	4707.617837
Median Absolute Deviation (MAD)	524.88
Skewness	14.07462245
Sum	307313292.4
Variance	428355229.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1431.23	590	0.9%
1627.84	530	0.8%
803.86	498	0.8%
596	448	0.7%
1254.1899	418	0.6%
966.44	376	0.6%
439.7	372	0.6%
507.75	363	0.6%
767.75	348	0.5%
939.57	343	0.5%
Other values (4050)	60994	93.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	294	0.5%
194	2	< 0.1%
195.61	1	< 0.1%
198.396	1	< 0.1%
198.63	1	< 0.1%
200.7	8	< 0.1%
200.8	1	< 0.1%
201.69	3	< 0.1%
202.14	1	< 0.1%
202.6	1	< 0.1%

Value	Count	Frequency (%)
632610.16	5	< 0.1%
624453.75	2	< 0.1%
539200	11	< 0.1%
458320	12	< 0.1%
391924.7232	5	< 0.1%
387395	8	< 0.1%
348655.5	2	< 0.1%
332196.405	2	< 0.1%
330708.3792	5	< 0.1%
310273.7392	2	< 0.1%

Discount Amount
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17820
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1855.574835

Minimum	-255820.8
Maximum	343532.66
Zeros	1214
Zeros (%)	1.9%
Negative	972
Negative (%)	1.5%
Memory size	510.1 KiB

Quantile statistics

Minimum	-255820.8
5-th percentile	18.68
Q1	246.0375
median	441.76
Q3	999.76
95-th percentile	6353
Maximum	343532.66
Range	599353.46
Interquartile range (IQR)	753.7225

Descriptive statistics

Standard deviation	9037.140888
Coefficient of variation (CV)	4.870264847
Kurtosis	379.7363588
Mean	1855.574835
Median Absolute Deviation (MAD)	233.935
Skewness	10.84177856
Sum	121131925.2
Variance	81669915.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1214	1.9%
24.88	103	0.2%
606.84	100	0.2%
639.82	97	0.1%
601.9033	93	0.1%
402.7	93	0.1%
634.6133	93	0.1%
918.1412	88	0.1%
169.36	87	0.1%
385.98	87	0.1%
Other values (17810)	63225	96.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-255820.8	1	< 0.1%
-245587.97	1	< 0.1%
-238792.73	1	< 0.1%
-231837.6	3	< 0.1%
-222564.1	3	< 0.1%
-127176	1	< 0.1%
-122088.96	1	< 0.1%
-84573.72	1	< 0.1%
-81190.77	1	< 0.1%
-53626	1	< 0.1%

Value	Count	Frequency (%)
343532.66	2	< 0.1%
339103.35	1	< 0.1%
331487.76	2	< 0.1%
327213.75	1	< 0.1%
322454.09	1	< 0.1%
210371	4	< 0.1%
202995	4	< 0.1%
191196.5532	2	< 0.1%
189333.9	1	< 0.1%
182832.8832	2	< 0.1%

Sales Margin Amount
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	21295
Distinct (%)	32.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1191.012887

Minimum	-3932.93
Maximum	188800
Zeros	3
Zeros (%)	< 0.1%
Negative	576
Negative (%)	0.9%
Memory size	510.1 KiB

Quantile statistics

Minimum	-3932.93
5-th percentile	61.54
Q1	129.9475
median	246.49
Q3	579.39
95-th percentile	3824.43
Maximum	188800
Range	192732.93
Interquartile range (IQR)	449.4425

Descriptive statistics

Standard deviation	5860.857507
Coefficient of variation (CV)	4.920901841
Kurtosis	324.9276471
Mean	1191.012887
Median Absolute Deviation (MAD)	140.265
Skewness	15.57141451
Sum	77749321.25
Variance	34349650.72
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
374.7	93	0.1%
5317.17	88	0.1%
6235.31	87	0.1%
341.72	84	0.1%
15.32	69	0.1%
37.08	67	0.1%
52.8	67	0.1%
431.88	64	0.1%
464.59	64	0.1%
24.53	63	0.1%
Other values (21285)	64534	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3932.93	1	< 0.1%
-3764.4	2	< 0.1%
-3673.68	2	< 0.1%
-3608.81	1	< 0.1%
-3414.01	2	< 0.1%
-3132.65	2	< 0.1%
-2533.97	2	< 0.1%
-2508.21	2	< 0.1%
-2488.89	1	< 0.1%
-2103.04	2	< 0.1%

Value	Count	Frequency (%)
188800	1	< 0.1%
185907.2	2	< 0.1%
172624	3	< 0.1%
164339.2	2	< 0.1%
160480	2	< 0.1%
156773.4	1	< 0.1%
156521.04	1	< 0.1%
151056	3	< 0.1%
148401.6	3	< 0.1%
147487.37	2	< 0.1%

Sales Cost Amount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	5513
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1661.030116

Minimum	0
Maximum	366576
Zeros	347
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	0
5-th percentile	85.36
Q1	167.79
median	304.53
Q3	687.4
95-th percentile	4946.11
Maximum	366576
Range	366576
Interquartile range (IQR)	519.61

Descriptive statistics

Standard deviation	9556.62722
Coefficient of variation (CV)	5.753434047
Kurtosis	614.2579832
Mean	1661.030116
Median Absolute Deviation (MAD)	171.22
Skewness	21.01063149
Sum	108432045.9
Variance	91329123.83
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
449.69	534	0.8%
475.75	457	0.7%
0	347	0.5%
134.67	305	0.5%
162.89	289	0.4%
205.72	253	0.4%
159.14	242	0.4%
16718.08	234	0.4%
546.44	231	0.4%
344.28	229	0.4%
Other values (5503)	62159	95.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	347	0.5%
12.97	2	< 0.1%
19.55	4	< 0.1%
20.8	6	< 0.1%
26	1	< 0.1%
31.19	4	< 0.1%
33.97	3	< 0.1%
35.48	2	< 0.1%
35.54	5	< 0.1%
36.03	1	< 0.1%

Value	Count	Frequency (%)
366576	7	< 0.1%
353292.8	4	< 0.1%
311589.6	12	< 0.1%
185048.85	2	< 0.1%
161446.35	5	< 0.1%
157412.85	2	< 0.1%
153635.03	5	< 0.1%
146630.4	4	< 0.1%
141265.56	36	0.1%
137736.24	4	< 0.1%

Sales Rep
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	64
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	137.4231924

Minimum	103
Maximum	185
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	103
5-th percentile	104
Q1	113
median	134
Q3	160
95-th percentile	180
Maximum	185
Range	82
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	26.64392588
Coefficient of variation (CV)	0.1938823092
Kurtosis	-1.301510627
Mean	137.4231924
Median Absolute Deviation (MAD)	23
Skewness	0.3506954731
Sum	8970986
Variance	709.8987865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
108	6225	9.5%
180	4427	6.8%
143	2926	4.5%
117	2442	3.7%
103	2162	3.3%
104	2065	3.2%
134	2033	3.1%
115	1988	3.0%
125	1967	3.0%
157	1744	2.7%
Other values (54)	37301	57.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
103	2162	3.3%
104	2065	3.2%
105	1184	1.8%
107	1304	2.0%
108	6225	9.5%
109	1137	1.7%
110	594	0.9%
111	542	0.8%
112	486	0.7%
113	1422	2.2%

Value	Count	Frequency (%)
185	538	0.8%
184	229	0.4%
183	326	0.5%
182	808	1.2%
181	792	1.2%
180	4427	6.8%
179	875	1.3%
176	1083	1.7%
175	1322	2.0%
173	795	1.2%

U/M
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.7 MiB

EA	58992
SE	5629
PR	659

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	130560
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EA
2nd row	EA
3rd row	EA
4th row	EA
5th row	SE

Common Values

Value	Count	Frequency (%)
EA	58992	90.4%
SE	5629	8.6%
PR	659	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ea	58992	90.4%
se	5629	8.6%
pr	659	1.0%

Most occurring characters

Value	Count	Frequency (%)
E	64621	49.5%
A	58992	45.2%
S	5629	4.3%
P	659	0.5%
R	659	0.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	130560	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	64621	49.5%
A	58992	45.2%
S	5629	4.3%
P	659	0.5%
R	659	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	130560	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	64621	49.5%
A	58992	45.2%
S	5629	4.3%
P	659	0.5%
R	659	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	64621	49.5%
A	58992	45.2%
S	5629	4.3%
P	659	0.5%
R	659	0.5%

List Price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1062
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	514.7091493

Minimum	0
Maximum	2760.7
Zeros	294
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	0
5-th percentile	36.69
Q1	181.56
median	325.19
Q3	803.86
95-th percentile	1431.23
Maximum	2760.7
Range	2760.7
Interquartile range (IQR)	622.3

Descriptive statistics

Standard deviation	449.1870286
Coefficient of variation (CV)	0.8727006878
Kurtosis	0.01247467261
Mean	514.7091493
Median Absolute Deviation (MAD)	217.35
Skewness	1.0054526
Sum	33600213.26
Variance	201768.9867
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
298	1508	2.3%
1431.23	1426	2.2%
966.44	1192	1.8%
1275.1	1126	1.7%
192.34	1041	1.6%
1627.84	1035	1.6%
157.76	988	1.5%
1084.61	975	1.5%
181.44	893	1.4%
412.03	892	1.4%
Other values (1052)	54204	83.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	294	0.5%
0.3929	150	0.2%
0.4	21	< 0.1%
0.405	25	< 0.1%
0.41	10	< 0.1%
0.445	6	< 0.1%
0.52	1	< 0.1%
0.61	4	< 0.1%
1.6236	2	< 0.1%
1.8711	9	< 0.1%

Value	Count	Frequency (%)
2760.7	12	< 0.1%
2291.4	7	< 0.1%
2267	10	< 0.1%
1975	113	0.2%
1920	61	0.1%
1880	19	< 0.1%
1759.4	45	0.1%
1731.4	35	0.1%
1691.4	12	< 0.1%
1688.13	150	0.2%

Sales Price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	14788
Distinct (%)	22.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	283.6968508

Minimum	0.3373411765
Maximum	6035
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	510.1 KiB

Quantile statistics

Minimum	0.3373411765
5-th percentile	22.42555556
Q1	100.07
median	183.75825
Q3	448.22
95-th percentile	789.66725
Maximum	6035
Range	6034.662659
Interquartile range (IQR)	348.15

Descriptive statistics

Standard deviation	252.0316598
Coefficient of variation (CV)	0.8883837061
Kurtosis	6.882532688
Mean	283.6968508
Median Absolute Deviation (MAD)	116.47175
Skewness	1.418975272
Sum	18519730.42
Variance	63519.95752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
140.43	191	0.3%
817.68	189	0.3%
133.41	181	0.3%
783.17	138	0.2%
824.39	138	0.2%
23.47	136	0.2%
82.87333333	125	0.2%
221.04	120	0.2%
230.25	120	0.2%
230.98	120	0.2%
Other values (14778)	63822	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3373411765	2	< 0.1%
0.3514	1	< 0.1%
0.3619411765	1	< 0.1%
0.37718	67	0.1%
0.384	9	< 0.1%
0.3888	12	< 0.1%
0.3929	67	0.1%
0.3936	5	< 0.1%
0.4	9	< 0.1%
0.40469	16	< 0.1%

Value	Count	Frequency (%)
6035	1	< 0.1%
3748	2	< 0.1%
3233.36	1	< 0.1%
3009.86	1	< 0.1%
3003.41	1	< 0.1%
2823	1	< 0.1%
2753.32	1	< 0.1%
2560	1	< 0.1%
2540.17	1	< 0.1%
2360.1	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	CustKey	Item	Invoice Date	Invoice_Year	Invoice_Quarter	Invoice_Month	Invoice_Day	Sales Quantity	Sales Amount	Sales Amount Based on List Price	Discount Amount	Sales Margin Amount	Sales Rep	U/M	List Price	Sales Price
0	0	10000481	Urban Large Eggs	2017-04-30	2017	2	4	30	1	237.91	0.000	-237.910	237.91	184	EA	0.000	237.910000
1	1	10002220	Moms Sliced Turkey	2017-07-14	2017	3	7	14	1	456.17	824.960	368.790	456.17	127	EA	824.960	456.170000
2	2	10002220	Cutting Edge Foot-Long Hot Dogs	2017-10-17	2017	4	10	17	1	438.93	548.660	109.730	438.93	127	EA	548.660	438.930000
3	3	10002489	Kiwi Lox	2017-06-03	2017	2	6	3	1	211.75	0.000	-211.750	211.75	160	EA	0.000	211.750000
4	4	10004516	High Top Sweet Onion	2017-05-27	2017	2	5	27	455	89248.66	185876.600	96627.940	89248.66	124	SE	408.520	196.150901
5	5	10004516	Best Choice Fudge Brownies	2017-05-30	2017	2	5	30	1	1950.00	0.000	-1950.000	1950.00	124	EA	0.000	1950.000000
6	6	10007866	Moms Sliced Turkey	2017-09-03	2017	3	9	3	1	424.30	795.314	371.014	424.30	149	EA	795.314	424.300000
7	7	10009356	Tell Tale Garlic	2017-06-18	2017	2	6	18	2	541.92	1150.000	608.080	541.92	103	EA	575.000	270.960000
8	8	10009356	High Top Walnuts	2017-06-18	2017	2	6	18	15	353.40	778.200	424.800	353.40	103	EA	51.880	23.560000
9	9	10009356	Big Time Frozen Cheese Pizza	2017-06-18	2017	2	6	18	60	11229.00	24721.800	13492.800	11229.00	103	EA	412.030	187.150000

Last rows

	df_index	CustKey	Item	Invoice Date	Invoice_Year	Invoice_Quarter	Invoice_Month	Invoice_Day	Sales Quantity	Sales Amount	Sales Amount Based on List Price	Discount Amount	Sales Margin Amount	Sales Cost Amount	Sales Rep	U/M	List Price	Sales Price
65270	65272	10017638	Blue Label Canned Beets	2018-03-21	2018	1	3	21	2	671.90	1268.22	596.32	127.79	544.11	180	EA	634.11	335.950000
65271	65273	10017638	Moms Sliced Turkey	2018-03-21	2018	1	3	21	12	5244.76	9899.52	4654.76	2186.28	3058.48	180	EA	824.96	437.063333
65272	65274	10017638	Gorilla Strawberry Yogurt	2018-03-21	2018	1	3	21	18	1783.40	3366.18	1582.78	1015.17	768.23	180	EA	187.01	99.077778
65273	65275	10017638	Gorilla Jack Cheese	2018-03-21	2018	1	3	21	2	1110.30	2206.00	1095.70	265.75	844.55	180	EA	1103.00	555.150000
65274	65276	10017638	Blue Label Fancy Canned Oysters	2018-03-21	2018	1	3	21	40	312.79	590.40	277.61	44.39	268.40	180	EA	14.76	7.819750
65275	65277	10017638	High Top Oranges	2018-03-21	2018	1	3	21	9	569.90	1075.68	505.78	329.95	239.95	180	EA	119.52	63.322222
65276	65278	10017638	Landslide White Sugar	2018-03-21	2018	1	3	21	2	462.81	873.56	410.75	39.26	423.55	180	EA	436.78	231.405000
65277	65279	10017638	Moms Potato Salad	2018-03-21	2018	1	3	21	8	987.20	1863.36	876.16	413.20	574.00	180	EA	232.92	123.400000
65278	65280	10017638	Better Fancy Canned Sardines	2018-03-21	2018	1	3	21	36	27297.51	51524.28	24226.77	11108.61	16188.90	180	EA	1431.23	758.264167
65279	65281	10017638	Imagine Popsicles	2018-03-21	2018	1	3	21	48	27582.02	52061.28	24479.26	13347.80	14234.22	180	EA	1084.61	574.625417

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows